We develop a hidden Markov model based maximum-likelihood approach for estimating the selection coefficient in a single population from time series data of allele frequencies.
This technique builds a statistical model based on maximum likelihood.
The breaking speed predicted by the 3D model based on maximum principal stress criterion for a single fiber is between26%% (membrane failure) and 76% (combined membrane and flexure failure) less than the 1D analytical solution.
Age-specific antibody prevalence was analysed using a catalytic conversion model based on maximum likelihood to generate SCR.
Especially, a classification model based on maximum leg press push-off force yielded high sensitivity and specificity in cross-validation.
Variables with p < 0.2 were entered in a multiple logistic regression model based on maximum likelihood estimation.
Estimation of the model based on maximum likelihood, so-called interval regression, produces consistent and asymptotically efficient coefficient estimates [ 62].
To estimate the efficacy of ACV and of IDU, the non-linear mixed effect (NLME) model (logistic regression model, based on maximum likelihood method) fitting treatment as a fixed effect and study as a random effect, was performed.
To address the special aspects of this classification challenge, specifically along the Focus and the Evidence dimensions, a new classification model based on Maximum Entropy was designed, and experimented with, in addition to standard classifiers.
In this study, a structural equation model based on maximum likelihood estimation was employed (AMOS) [ 7, 22] to examine the relationship between parental behavioral and psychological control and adolescent GAD symptoms over time, as well as parental behavioral and psychological control and adolescent SAD symptoms over time.
Data on the stable size of hyphae agree well with the model based on the maximum energy criterion.
